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Annotate Time Series plot in Matplotlib
To annotate time series plot in matplotlib, we can take the following steps −
Create lists for time and numbers.
Using subplots() method, create a figure and a set of subplots.
Using plot_date() method, plot the data that contains dates with linestyle "-.".
Annotate a point in the plot using annotate() method.
Date ticklabels often overlap, so it is useful to rotate them and right-align them.
To display the figure, use show() method.
Example
import datetime as dt
from matplotlib import pyplot as plt, dates as mdates
plt.rcParams["figure.figsize"] = [7.00, 3.50]
plt.rcParams["figure.autolayout"] = True
x = [dt.datetime(2021, 1, 1), dt.datetime(2021, 1, 2),
dt.datetime(2021, 1, 3), dt.datetime(2021, 1, 4)]
y = [1, 3, 2, 5]
fig, ax = plt.subplots()
ax.plot_date(x, y, linestyle='-.')
ax.annotate('Point', (mdates.date2num(x[1]), y[1]), xytext=(15, 15),
textcoords='offset points', arrowprops=dict(arrowstyle='-|>'))
fig.autofmt_xdate()
plt.show()Output
Updated on: 07-May-2021
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